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Tongcheng Travel's data channel evolved over several years into four parallel systems for offline transfer, real-time integration, Sqoop jobs, and SeaTunnel jobs. Each system solved a problem at a particular stage, but their overlapping capabilities, different execution engines, and separate operational models eventually became a barrier to platform-wide governance.
At an Apache SeaTunnel Meetup, Xiaochen Zhou, who works on the data platform at Tongcheng Travel, explained how the company consolidated those systems into a unified batch and streaming data channel based on the Apache SeaTunnel Zeta Engine. The project had three non-negotiable goals: keep the migration transparent to application teams, prove data consistency before switching traffic, and improve execution efficiency and operational stability.
This article summarizes the architecture, migration safeguards, AI-assisted task generation, validation design, and future direction presented in that session.